Clinical trials: Artificial Intelligence Algorithms
Murmur, Heart, Aortic Valve Stenosis
Development of an Algorithm to Differentiate Heart Murmurs Using Electronic Stethoscopes
The Eko CORE and DUO stethoscopes are FDA-approved electronic devices that have the capacity to record heart sounds. The study seeks to expand murmur detection to include VHD classification through the development of novel ML…
- Conditions
- Murmur, Heart, Aortic Valve Stenosis, Tricuspid Regurgitation, Mitral Regurgitation
- Trial name
- NCT04400513
- Testing
- Use of Eko CORE and Eko DUO electronic stethoscopes
- Where
- United States
- Volunteers
- 1,145 people
- Sponsor
- Eko Devices, Inc.
Length, Weight
A Growth Artificial Intelligence Algorithm for leNgth and Weight Study
This is a data collection and machine learning accuracy testing project that aims to a) collect training data to enhance, by machine learning, an artificial intelligence (AI) algorithm for measuring length in infants and young…
- Trial name
- GAINS (NCT06920550)
- Where
- 4 sites in Netherlands, Poland and 1 more
- Volunteers
- 250 people, healthy volunteers welcome
- Sponsor
- Nutricia Research
Heart Failure, Diastolic, Echocardiography
Assessment of Left Ventricular Filling Pressure by Applying Artificial Intelligence Algorithms to Left Atrial Speckle-tracking Echocardiography
The goal of this single-center, prospective, observational study is to validate a software package based on an artificial intelligence algorithm for automated non-invasive estimation of LVFP against invasively measured ones by…
- Trial name
- LVEDP (NCT05768698)
- Testing
- Software algorithm
- Where
- United States
- Volunteers
- 20 people
- Sponsor
- Istituto Auxologico Italiano
Gingivitis
AI Gum Health Evaluation with Smartphone
Background The most common dental diseases are tooth decay (caries) and gum disease (gingivitis and periodontitis). Obviously, these diseases are caused by dental plaque (bacterial biofilm).
- Trial name
- NCT05685355
- Testing
- Standardized intraoral photography
- Where
- Hong Kong
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- The University of Hong Kong
Patient With an Appointment for an Abdominal CT Scan and Able to Stand up for Height Measurement
Automated and Reliable Estimation of Patient Height From CT Scan Using an Artificial Intelligence Algorithm
The TAILLE study is a single-center, non-interventional (RIPH3), uncontrolled, non-randomized, open-label study.prospective study conducted at CHU Grenoble Alpes.
- Trial name
- TAILLE (NCT07864857)
- Where
- France
- Volunteers
- 200 people
- Sponsor
- University Hospital, Grenoble
Cervical Cancer, HSIL
Development and Evaluation of an Artificial Intelligence Tool for Colposcopy Assistance
Project aiming to develop an algorithm to help the interpretation of colposcopy images, then to evaluate the effectiveness of this algorithm by using it on new cases and comparing the results obtained to the impression of expert…
- Conditions
- Cervical Cancer, HSIL, LSIL, Cervical Ectropion
- Trial name
- IACOL (NCT06208319)
- Testing
- data collection
- Volunteers
- 1,000 people
- Sponsor
- Assistance Publique - Hôpitaux de Paris
Fetal Anomalies, Brain Malformation
AIRFRAME: Artificial Intelligence for Recognition of Fetal bRain AnoMaliEs at Second Trimester Fetal Brain Scan
Obstetric ultrasound represents the standard of care for the screening of the fetal anomalies. However, its performance is dependent upon several parameters including type of anomaly, gestational age, maternal habitus and skills…
- Trial name
- AIRFRAME (NCT06675266)
- Testing
- Development of AI algorithm for early detection of fetal brain anomalies in the second trimester screening scan
- Where
- Italy
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Deep Vein Thrombosis, Superficial Thrombophlebitis
DOACT Algorithm Versus AI-Based Decision Models in Oral Anticoagulant Therapy for Vascular Patients
Study using a decision algorithm for the application of an oral anticoagulant calculator in vascular diseases, aimed at validating a clinical decision-support tool for conditions such as deep vein thrombosis, superficial…
- Conditions
- Deep Vein Thrombosis, Superficial Thrombophlebitis, Pulmonary Thromboembolisms, Clinical Decision Support Systems
- Trial name
- DOACT (NCT07290608)
- Testing
- DOACT algorithm, No algorithm, LLM-based tools
- Where
- Brazil
- Volunteers
- 59 people, healthy volunteers welcome
- Sponsor
- ITALO EUGENIO SOUZA GADELHA DE ABREU
Coronary Artery Disease
The Validation of a CAD Screening Algorithm Based on Facial Photos in Community Population
The purpose of this study is to evaluate the effectiveness of a coronary heart disease screening algorithm based on facial photos in community population.
- Trial name
- NCT06850233
- Testing
- No intervention
- Where
- China
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- China National Center for Cardiovascular Diseases
Cervical Cancer, Diagnostic Platform
Artificial Intelligence Enables Precision Diagnosis of Cervical Cytology Grades and Cervical Cancer
Cervical cancer, the fourth most common cancer globally and the fourth leading cause of cancer-related deaths, can be effectively prevented through early screening.
- Conditions
- Cervical Cancer, Diagnostic Platform, Diagnosing Cervical Cytology Grades and Cancer, Artificial Intelligence
- Trial name
- NCT04551287
- Where
- 3 sites in China
- Volunteers
- 16,164 people, healthy volunteers welcome
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Artificial Intelligence (AI), Machine Learning
Development and Pre-validation of a Machine Learning-based Prediction Algorithm for Early Functional Recovery in Patients Undergoing Hip and Knee Replacement Surgery
The goal of this observational study is to develop and pre-validate a machine learning algorithm to predict early recovery of mobility in patients undergoing hip or knee joint replacement surgery.
- Conditions
- Artificial Intelligence (AI), Machine Learning, Joint Replacement, Predictive Model
- Trial name
- FISIO_IA (NCT07333560)
- Testing
- Predictive Model for Early Mobility Recovery and Length of Stay
- Where
- 2 sites in Italy
- Volunteers
- 943 people
- Sponsor
- Istituto Ortopedico Rizzoli
Acne, Acne Vulgaris
Clinical Workflow Optimization Using Artificial Intelligence for Dermatological Conditions
Artificial intelligence (AI) based on imaging holds tremendous potential to enhance visual diagnostic accuracy in the medical field.
- Conditions
- Acne, Acne Vulgaris, Alopecia, Androgenetic, Pigmented Lesions
- Trial name
- IDEI_2023 (NCT06263413)
- Where
- Spain
- Volunteers
- 150 people
- Sponsor
- AI Labs Group S.L
Spinal Epidural Hematoma
Establishment of Clinical Prediction Model for Postoperative Symptomatic Spinal Epidural Hematoma
The goal of this observational study is to establish a clinical prediction model based on artificial intelligence algorithms for patients with postoperative symptomatic spinal epidural hematoma(PSSEH) after spinal surgery.
- Trial name
- NCT06633848
- Testing
- spinal surgery
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Peking University Third Hospital
Acute Coronary Syndrome, Left Ventricular Dysfunction
LVEF Prediction During ACS Using AI Algorithm Applied on Coronary Angiogram Videos
Left ventricular ejection fraction (LVEF) is one of the strongest predictors of mortality and morbidity in patients with acute coronary syndrome (ACS).
- Trial name
- CathEF (NCT05317286)
- Where
- Canada
- Volunteers
- 240 people
- Sponsor
- Montreal Heart Institute
PTSD - Post Traumatic Stress Disorder, Trauma-related Nightmares
Validation of an Algorithm for Predicting Awakenings Associated With Trauma-related Nightmares, Based on the Analysis of Physiological Patterns in Military and Former Military Patients Suffering From Post-traumatic Stress Disorder
The goal of this clinical trial is to validate an artificial intelligence algorithm called CAUD-PIN (CAUchemar Detection on INdividualized Parameters) to predict nightmare-related awakenings in military personnel and veterans…
- Trial name
- CAUD-PIN (NCT07851480)
- Testing
- CAUD-PIN (CAUchemar Detection on INdividualized Parameters) - AI-based predictive algorithm forTrauma-related nightmare awakenings
- Where
- 3 sites in France
- Volunteers
- 27 people
- Sponsor
- Direction Centrale du Service de Santé des Armées
Neovascular Age-related Macular Degeneration
Development of an Optimal Algorithm for the Management of Patients With Retinal Pigment Epithelium Detachment in Neovascular Age-related Macular Degeneration Using Artificial Intelligence
The study involves the development of an algorithm for predicting anatomical and functional results of therapy with angiogenesis inhibitors in patients with retinal pigment epithelium detachments in neovascular age-related…
- Trial name
- NCT05208931
- Testing
- Anti-vascular endothelial growth factor therapy
- Where
- Russia
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- The S.N. Fyodorov Eye Microsurgery State Institution
Parkinson Disease, Idiopathic, Freezing of Gait
AID-FOG: Artificial Intelligence-Driven Freezing of Gait Detection in the Home
Freezing of gait (FOG) is a debilitating symptom of Parkinson's disease increases the risk of falling. Despite being a common symptom, it is still difficult to evaluate freezing of gait quickly and accurately.
- Conditions
- Parkinson Disease, Idiopathic, Freezing of Gait, Validation, Wearable Sensors
- Trial name
- AID-FOG (NCT07580612)
- Where
- 3 sites in Belgium, Germany and 1 more
- Volunteers
- 126 people, healthy volunteers welcome
- Sponsor
- KU Leuven
Frail Elderly Syndrome
A Machine Learning Algorithm to Predict Health Clinical Situations in Primary Healthcare for Frail Older Adults.
Introduction: We developed a machine learning algorithm to predict the risk of emergency hospitalization within the new 7 to 14 days with a good predictive performance (AUC=0.85).
- Trial name
- NCT06013709
- Testing
- PRESAE CARE
- Volunteers
- 1,478 people
- Sponsor
- Presage
Postoperative Delirium, Postoperative Neurocognitive Disorder
Risk Warning Model of Postoperative Delirium and Long-term Cognitive Dysfunction in Elderly Patients
The incidence of postoperative delirium in elderly patients is high, which can lead to long-term postoperative neurocognitive disorders. Its high risk factors are not yet clear.
- Conditions
- Postoperative Delirium, Postoperative Neurocognitive Disorder, Surgery
- Trial name
- NCT06423547
- Testing
- no intervention
- Where
- China
- Volunteers
- 10,000 people
- Sponsor
- Xuanwu Hospital, Beijing
Atrial Fibrillation, Cardiovascular Diseases
NOrthwestern Tempus AI-enaBLed Electrocardiography (NOTABLE) Trial
The goal of this clinical trial is to determine if a machine learning/artificial intelligence (AI)-based electrocardiogram (ECG) algorithm (rECHOmmend and ECG-AF) can identify undiagnosed cardiovascular disease in patients.
- Conditions
- Atrial Fibrillation, Cardiovascular Diseases, Arrhythmia, Valvular Disease
- Trial name
- NOTABLE (NCT06511505)
- Testing
- Risk-Based Assessment for Cardiac Dysfunction
- Where
- United States
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Northwestern University